5 citations · 12 across the 6 of their papers we have counts for
7 papers
KliniskVestBERT: BERT Model Specialised to Norwegian Clinical Texts
Christian Autenried, Cosimo Persia
The increasing application of Natural Language Processing (NLP) in healthcare demands language models specifically attuned to the complexities of clinical language. This work intro…
Verifying Properties of Tsetlin Machines
Emilia Przybysz, Bimal Bhattarai, Cosimo Persia +3
Tsetlin Machines (TsMs) are a promising and interpretable machine learning method which can be applied for various classification tasks. We present an exact encoding of TsMs into p…
Extracting Rules from Neural Networks with Partial Interpretations
Cosimo Persia, Ana Ozaki
We investigate the problem of extracting rules, expressed in Horn logic, from neural network models. Our work is based on the exact learning model, in which a learner interacts wit…
Mining EL Bases with Adaptable Role Depth
Ricardo Guimarães, Ana Ozaki, Cosimo Persia +1
In Formal Concept Analysis, a base for a finite structure is a set of implications that characterizes all valid implications of the structure. This notion can be adapted to the con…
On the Learnability of Possibilistic Theories
Cosimo Persia, Ana Ozaki
We investigate learnability of possibilistic theories from entailments in light of Angluin's exact learning model. We consider cases in which only membership, only equivalence, and…
Learning Query Inseparable ELH Ontologies
Ana Ozaki, Cosimo Persia, Andrea Mazzullo
We investigate the complexity of learning query inseparable ELH ontologies in a variant of Angluin's exact learning model. Given a fixed data instance A* and a query language Q, we…
Incremental Predictive Process Monitoring: How to Deal with the Variability of Real Environments
Chiara Di Francescomarino, Chiara Ghidini, Fabrizio Maria Maggi +2
A characteristic of existing predictive process monitoring techniques is to first construct a predictive model based on past process executions, and then use it to predict the futu…